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SASHAYDIALL: A SAS Program for Hayman’s Diallel Analysis

Different methods of diallel crossing are commonly used in plant breeding. The diallel cross analysis method proposed by Hayman is particularly useful because it provides information, among others, on additive and dominance effects of genes, average degree of dominance, proportion of dominance, dire...

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Detalles Bibliográficos
Autores principales: Makumbi, Dan, Alvarado, Gregorio, Crossa, José, Burgueño, Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Crop Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7680942/
https://www.ncbi.nlm.nih.gov/pubmed/33343012
http://dx.doi.org/10.2135/cropsci2018.01.0047
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author Makumbi, Dan
Alvarado, Gregorio
Crossa, José
Burgueño, Juan
author_facet Makumbi, Dan
Alvarado, Gregorio
Crossa, José
Burgueño, Juan
author_sort Makumbi, Dan
collection PubMed
description Different methods of diallel crossing are commonly used in plant breeding. The diallel cross analysis method proposed by Hayman is particularly useful because it provides information, among others, on additive and dominance effects of genes, average degree of dominance, proportion of dominance, direction of dominance, distribution of genes, maternal and reciprocal effects, number of groups of genes that control a trait and exhibit dominance, ratio of dominant to recessive alleles in all the parents, and broad-sense and narrow-sense heritability. In this paper, we fully describe a SAS-based software SASHAYDIALL for performing a complete diallel cross analysis based on Hayman’s model with or without reciprocals. We demonstrate the use of SASHAYDIALL with two data sets; one is a published diallel cross data set with reciprocals in cabbage (Brassica oleracea L.), and the second is a data set from a multilocation diallel cross trial in maize (Zea mays L.) without reciprocals. With SASHAYDIALL, diallel experiments conducted in single sites can be analyzed to estimate various genetic parameters, and this analysis is extended over locations or environments to assess genetic effect × environment interaction. SASHAYDIALL is user-friendly software that provides detailed genetic information from diallel crosses involving any number of parents and locations.
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spelling pubmed-76809422020-12-18 SASHAYDIALL: A SAS Program for Hayman’s Diallel Analysis Makumbi, Dan Alvarado, Gregorio Crossa, José Burgueño, Juan Crop Sci Research Different methods of diallel crossing are commonly used in plant breeding. The diallel cross analysis method proposed by Hayman is particularly useful because it provides information, among others, on additive and dominance effects of genes, average degree of dominance, proportion of dominance, direction of dominance, distribution of genes, maternal and reciprocal effects, number of groups of genes that control a trait and exhibit dominance, ratio of dominant to recessive alleles in all the parents, and broad-sense and narrow-sense heritability. In this paper, we fully describe a SAS-based software SASHAYDIALL for performing a complete diallel cross analysis based on Hayman’s model with or without reciprocals. We demonstrate the use of SASHAYDIALL with two data sets; one is a published diallel cross data set with reciprocals in cabbage (Brassica oleracea L.), and the second is a data set from a multilocation diallel cross trial in maize (Zea mays L.) without reciprocals. With SASHAYDIALL, diallel experiments conducted in single sites can be analyzed to estimate various genetic parameters, and this analysis is extended over locations or environments to assess genetic effect × environment interaction. SASHAYDIALL is user-friendly software that provides detailed genetic information from diallel crosses involving any number of parents and locations. Crop Science 2018-06-14 2018 /pmc/articles/PMC7680942/ /pubmed/33343012 http://dx.doi.org/10.2135/cropsci2018.01.0047 Text en © Crop Science Society of America http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research
Makumbi, Dan
Alvarado, Gregorio
Crossa, José
Burgueño, Juan
SASHAYDIALL: A SAS Program for Hayman’s Diallel Analysis
title SASHAYDIALL: A SAS Program for Hayman’s Diallel Analysis
title_full SASHAYDIALL: A SAS Program for Hayman’s Diallel Analysis
title_fullStr SASHAYDIALL: A SAS Program for Hayman’s Diallel Analysis
title_full_unstemmed SASHAYDIALL: A SAS Program for Hayman’s Diallel Analysis
title_short SASHAYDIALL: A SAS Program for Hayman’s Diallel Analysis
title_sort sashaydiall: a sas program for hayman’s diallel analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7680942/
https://www.ncbi.nlm.nih.gov/pubmed/33343012
http://dx.doi.org/10.2135/cropsci2018.01.0047
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